435 citations · 760 across the 11 of their papers we have counts for
13 papers
Cluster-First Labelling: An Automated Pipeline for Segmentation and Morphological Clustering in Histology Whole Slide Images
Muhammad Haseeb Ahmad, Sharmila Rajendran, Damion Young +1
Labelling tissue components in histology whole slide images (WSIs) is prohibitively labour-intensive: a single slide may contain tens of thousands of structures--cells, nuclei, and…
Attention Mechanism Meets with Hybrid Dense Network for Hyperspectral Image Classification
Muhammad Ahmad, Adil Mehmood Khan, Manuel Mazzara +3
Convolutional Neural Networks (CNN) are more suitable, indeed. However, fixed kernel sizes make traditional CNN too specific, neither flexible nor conducive to feature learning, th…
3D/2D regularized CNN feature hierarchy for Hyperspectral image classification
Muhammad Ahmad, Manuel Mazzara, Salvatore Distefano
Convolutional Neural Networks (CNN) have been rigorously studied for Hyperspectral Image Classification (HSIC) and are known to be effective in exploiting joint spatial-spectral in…
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNN
Muhammad Ahmad, Sidrah Shabbir, Rana Aamir Raza +3
Convolutional Neural Networks (CNN) has been extensively studied for Hyperspectral Image Classification (HSIC) more specifically, 2D and 3D CNN models have proved highly efficient…
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects
Muhammad Ahmad, Sidrah Shabbir, Swalpa Kumar Roy +7
Hyperspectral Imaging (HSI) has been extensively utilized in many real-life applications because it benefits from the detailed spectral information contained in each pixel. Notably…
Fuzziness-based Spatial-Spectral Class Discriminant Information Preserving Active Learning for Hyperspectral Image Classification
Muhammad Ahmad
Traditional Active/Self/Interactive Learning for Hyperspectral Image Classification (HSIC) increases the size of the training set without considering the class scatters and randomn…
A Fast 3D CNN for Hyperspectral Image Classification
Muhammad Ahmad
Hyperspectral imaging (HSI) has been extensively utilized for a number of real-world applications. HSI classification (HSIC) is a challenging task due to high inter-class similarit…
Efficient Data Analytics on Augmented Similarity Triplets
Sarwan Ali, Muhammad Ahmad, Umair ul Hassan +3
Data analysis require a pairwise proximity measure over objects. Recent work has extended this to situations where the distance information between objects is given as comparison r…
Unsupervised adulterated red-chili pepper content transformation for hyperspectral classification
Muhammad Hussain Khan, Zainab Saleem, Muhammad Ahmad +2
Preserving red-chili quality is of utmost importance in which the authorities demand the quality techniques to detect, classify and prevent it from the impurities. For example, sal…
Anomaly Detection in DevOps Toolchain
Antonio Capizzi, Salvatore Distefano, Manuel Mazzara +3
The tools employed in the DevOps Toolchain generates a large quantity of data that is typically ignored or inspected only in particular occasions, at most. However, the analysis of…
Multi Sensor-based Implicit User Identification
Muhammad Ahmad, Ali Kashif Bashir, Adil Mehmood Khan +3
Smartphones have ubiquitously integrated into our home and work environments, however, users normally rely on explicit but inefficient identification processes in a controlled envi…
Seeking Optimum System Settings for Physical Activity Recognition on Smartwatches
Muhammad Ahmad, Adil Mehmood Khan, Manuel Mazzara +1
Physical activity recognition (PAR) using wearable devices can provide valued information regarding an individual's degree of functional ability and lifestyle. In this regards, sma…
Segmented and Non-Segmented Stacked Denoising Autoencoder for Hyperspectral Band Reduction
Muhammad Ahmad, Asad Khan, Adil Mehmood Khan +1
Hyperspectral image analysis often requires selecting the most informative bands instead of processing the whole data without losing the key information. Existing band reduction (B…